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In this work, we propose the method for effective scene change detection, which is based on thresholding and fade-in/fade-out scene analysis. It uses computer vision and image analysis approaches to identify the scene cuts. The comparison with the PySceneDetect is included.
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Sep 22, 2021 · In this work, we propose the method for effective scene change detection, which is based on thresholding and fade-in/fade-out scene analysis. It ...
In this work, we propose the method for effective scene change detection, which is based on thresholding and fade- in/fade-out scene analysis. It uses computer ...
A straightforward approach for this task is to train a semantic change detection network directly from a large-scale dataset in an end-to-end manner. 1.
The ability to quickly and accurately categorize our environment into meaningful scene categories has been linked to the fast processing of global scene ...
Jun 17, 2024 · We present a novel, training-free approach to scene change detection. Our method leverages tracking models, which inherently perform change detection between ...
To detect scene changes on those video streams, two approaches can be taken: • Fully decompress the video data Into a sequence ofImage frames and then perform ...
Sep 16, 2024 · You can compare the segments between certain time intervals and check the difference. Or compare them when you detect movements in the scene.
This paper proposes a simple unified approach to scene change detection in uncompressed and compressed video using statistical features of images. We also ...
In this paper, we propose a novel method to detect scene cuts adaptively using a difference metric based on the color histograms of successive frames of a video ...